Definitions for Deep Learning
deep learn·ing

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1. Deep learning

   Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, semi-supervised or unsupervised.Deep learning architectures such as deep neural networks, deep belief networks and recurrent neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics, drug design, medical image analysis, material inspection and board game programs, where they have produced results comparable to and in some cases superior to human experts. Deep learning models are vaguely inspired by information processing and communication patterns in biological nervous systems yet have various differences from the structural and functional properties of biological brains (especially human brains), which make them incompatible with neuroscience evidences.

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1. Deep Learning

   (DL) is a subset of ML that uses multiple layers and algorithms inspired by the structure and function of the brain, called artificial neural networks, to learn from large amounts of data. DL is used for such projects as computer vision, natural language processing, recommendation engines and others.

   
   

   Submitted by rinat on July 3, 2022  

How to pronounce Deep Learning?

1. Alex

   US English

   David

   US English

   Mark

   US English

   Daniel

   British

   Libby

   British

   Mia

   British

   Karen

   Australian

   Hayley

   Australian

   Natasha

   Australian

   Veena

   Indian

   Priya

   Indian

   Neerja

   Indian

   Zira

   US English

   Oliver

   British

   Wendy

   British

   Fred

   US English

   Tessa

   South African

How to say Deep Learning in sign language?

Numerology

1. Chaldean Numerology

   The numerical value of Deep Learning in Chaldean Numerology is: 2

2. Pythagorean Numerology

   The numerical value of Deep Learning in Pythagorean Numerology is: 2

Examples of Deep Learning in a Sentence

1. Amit Ray:

   Imaginations bring order out of chaos. Deep learning with deep imagination is the road map to AI springs and AI autumns.

2. Chief Executive Marc Benioff:

   What I see is an AI first world, and for every customer... to be able to get a whole another generation of productivity out of artificial intelligence, machine learning and deep learning.

3. Chief Executive Jen-Hsun Huang:

   Strong demand for our new Pascal-generation GPUs and surging interest in deep learning drove record results.

4. Curt Davis:

   All machine learning creates false positives, but the focus of the study was to measure the deep learning models against human performance.

5. Yaron Gurovich:

   The AI technology demonstrates how one can successfully apply state of the art algorithms, such as deep learning, to a challenging field where the available data is small, unbalanced in terms of available patients per condition, and where the need to support a large amount of conditions is great.

References

1. ^ Wikipedia
   https://en.wikipedia.org/wiki/Deep_Learning